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Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

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Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

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dc.contributor.author Chuquin-Vasco, Daniel es_ES
dc.contributor.author Parra, Francis es_ES
dc.contributor.author Chuquin-Vasco, Nelson es_ES
dc.contributor.author Chuquin-Vasco, Juan es_ES
dc.contributor.author Lo-Iacono-Ferreira, Vanesa G. es_ES
dc.date.accessioned 2022-05-13T18:06:16Z
dc.date.available 2022-05-13T18:06:16Z
dc.date.issued 2021-07 es_ES
dc.identifier.uri http://hdl.handle.net/10251/182612
dc.description.abstract [EN] The objective of this research was to design a neural network (ANN) to predict the methanol flux at the outlet of a carbon dioxide dehydrogenation plant. For the development of the ANN, a database was generated, in the open-source simulation software "DWSIM", from the validation of a process described in the literature. The sample consists of 133 data pairs with four inputs: reactor pressure and temperature, mass flow of carbon dioxide and hydrogen, and one output: flow of methanol. The ANN was designed using 12 neurons in the hidden layer and it was trained with the Levenberg-Marquardt algorithm. In the training, validation and testing phase, a global mean square (RMSE) value of 0.0085 and a global regression coefficient R of 0.9442 were obtained. The network was validated through an analysis of variance (ANOVA), where the p-value for all cases was greater than 0.05, which indicates that there are no significant differences between the observations and those predicted by the ANN. Therefore, the designed ANN can be used to predict the methanol flow at the exit of a dehydrogenation plant and later for the optimization of the system. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Energies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Simulation es_ES
dc.subject DWSIM es_ES
dc.subject Hydrogenation of carbon dioxide es_ES
dc.subject ANN es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/en14133965 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria es_ES
dc.description.bibliographicCitation Chuquin-Vasco, D.; Parra, F.; Chuquin-Vasco, N.; Chuquin-Vasco, J.; Lo-Iacono-Ferreira, VG. (2021). Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks. Energies. 14(13):1-18. https://doi.org/10.3390/en14133965 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/en14133965 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 13 es_ES
dc.identifier.eissn 1996-1073 es_ES
dc.relation.pasarela S\462202 es_ES


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